Lookonchain
A Polymarket user tracked as @coldsway lost $11.6 million betting on the 2026 World Cup across just 10 days, according to the profile's public ledger. The trader placed 15 positions, won 4, and finished with a 26.7% win rate.
Why it matters
The losses show up raw on a public profile page, which is the structural point of a prediction market. On Polymarket, every wallet is a transparent P&L statement, so a drawdown this large is visible to anyone tracking the leaderboard. That visibility tends to pull in two kinds of readers: gamblers looking for a hot streak to copy, and skeptics looking for the rare visible case where prediction-market retail gets burned.
Market impact
The biggest single loss was nearly $5M on one position, a concentration that turns a bad run into a wipeout. For the broader Polymarket order books on World Cup contracts, the read is more about attention than liquidity: high-profile losing wallets draw commentary but rarely move price on their own.
Source: [@coldsway on Polymarket](https://polymarket.com/@coldsway)
Frequently asked questions
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Who is @coldsway on Polymarket?
A public Polymarket user whose profile ledger shows $11.6M in losses across 15 World Cup bets over 10 days, with a 26.7% win rate and a single position down nearly $5M.
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How many bets did @coldsway place and lose?
The profile shows 15 positions placed, 11 of them losing, leaving 4 winners and a 26.7% win rate over the 10-day window.
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What was @coldsway's biggest single loss?
The largest single position on the profile ended down nearly $5M, a concentration that turned a bad run into a total wipeout.
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Why does a losing prediction-market wallet get attention?
Polymarket profiles publish every wallet as a transparent P&L statement, so a drawdown this large is visible to anyone tracking the leaderboard rather than buried in a brokerage account.
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Does one retail wallet losing this much move Polymarket prices?
A single retail wallet rarely shifts World Cup contract liquidity on its own. The attention draw is real, but the order books tend to be driven by broader event flow, not one profile bleeding out.
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